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Seite 156
The usual m.l.e , for P , i ' ܨ i x / n , is a consistent estimator when no and k remains fixed , but this may not be the case if k increases with n . A consistent estimator for P , Pi can be constructed by " borrowing " information ...
The usual m.l.e , for P , i ' ܨ i x / n , is a consistent estimator when no and k remains fixed , but this may not be the case if k increases with n . A consistent estimator for P , Pi can be constructed by " borrowing " information ...
Seite 238
In summary , the maximum - likelihood estimators are better than the percentile estimators . The proposed algorithm for estimating the three - parameter Weibull distribution is fast and always can find an optimum . 4.
In summary , the maximum - likelihood estimators are better than the percentile estimators . The proposed algorithm for estimating the three - parameter Weibull distribution is fast and always can find an optimum . 4.
Seite
( Wang , Nae - Sheng ) An Upper Bound for the Variance of Inverse Sampling Estimator ( Lin . Jer - Yan ) Improved Tests of Fit for Sparse Contingency Tables .. ( Gau , Shiow - Lan ) Anticipated Shocks under the Assumption of Perfect ...
( Wang , Nae - Sheng ) An Upper Bound for the Variance of Inverse Sampling Estimator ( Lin . Jer - Yan ) Improved Tests of Fit for Sparse Contingency Tables .. ( Gau , Shiow - Lan ) Anticipated Shocks under the Assumption of Perfect ...
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